ReviewRoyal Society open science2026
Advancements in bottom-up synthesis routes for monolayer graphene: a review.
Review in Royal Society open science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The synthesis of monolayer graphene has progressed from exfoliation to bottom-up strategies, enabling increasing atomic-level control. This review compares key routes, chemical vapour deposition (CVD), SiC epitaxy, arc discharge, molecular assembly and single-atom catalysts (SACs) and evaluates their mechanisms, scalability and quality bottlenecks. CVD remains the most mature and scalable approach, delivering centimetre-scale-single-crystal films through optimized substrates, roll-to-roll annealing and dry transfer, yet transfer-induced defects and wafer-scale non-uniformity persist. SiC epitaxy enables transfer-free, wafer-scale graphene with well-aligned domains, but requires high temperatures and costly wafers. Arc discharge offers catalyst-free production of crystalline graphene flakes, although monolayer yield and purity remain limited. Molecular assembly provides unmatched structural programmability and atomic precision in nanoribbons and nanographene islands, typically restricted to micrometre scales and stringent conditions. SAC-mediated growth represents a precision limit, where isolated metal atoms catalyse single-carbon insertion or removal at graphene edges, though current demonstrations remain largely single-event observations. Complementing these routes, artificial intelligence/machine learning is increasingly used for parameter optimization, predictive modelling of domain size/uniformity/defects and automated quality control (convolutional neural network/ generative modelling and YOLO-based defect detection). Overall, industrially viable, defect-free monolayer graphene will require combining scalable growth, transfer-free integration, atomic-precision and AI-enabled closed-loop optimization.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.